Climate change increasingly affects agricultural communities, yet research on its impact on U.S. farmer mental health remains limited, highlighting the need for systems-based and participatory approaches that center the voices of those most affected. Community-engaged approaches, including community-based system dynamics (CBSD), aim to address this gap by involving stakeholders in defining problems, identifying system drivers, and developing solutions. CBSD emphasizes participatory group model-building (GMB), where community members collaboratively construct causal models that explain complex phenomena, illuminate feedback loops, and leverage points for change. This study used a CBSD-informed approach to examine how climate-related stressors influence farmer mental health in a rural Midwestern agricultural community. However, attempts to implement participatory group sessions with farmers were unsuccessful. Rather than representing a methodological limitation, this “failure” revealed structural dynamics shaping farmer mental health and climate vulnerability.
Methods:
This research was part of a multi-method dissertation examining climate change and farmer mental health in southeastern Iowa. The study initially planned separate GMB sessions with farmers and mental health professionals living and working within a shared geographic community. While GMB was successfully implemented with mental health professionals, attempts to convene farmer sessions revealed unexpected barriers that raised concerns about potential harm to community relationships and participant livelihoods. The research design, therefore, pivoted to individual model-building conversations with farmers, reflecting vital community-engaged principles of adaptation and flexibility.
Results:
One farmer described group discussions of mental health as potentially “dangerous,” noting that perceived vulnerability could lead to gossip, speculation about farm viability, and opportunistic land acquisition by neighboring farmers. These concerns extended beyond stigma to perceived threats to economic survival and intergenerational farm continuity. Similar themes emerged during the mental health professional group session. Participants described instances in which community awareness of a farmer’s mental health challenges triggered speculation about land sales and competitive positioning among neighboring farmers, leading families to “close ranks” and withdraw from community engagement. These findings indicated that public discussion of mental health among farmers is constrained not only by stigma, but by structural economic pressures, land consolidation dynamics, and competitive agricultural markets. As a result, participatory group settings central to CBSD could not ethically guarantee participant safety.
Conclusions & Implications:
While the inability to conduct farmer GMB sessions represented a methodological setback, it generated a critical systems-level insight: structural economic pressures discourage farmers from discussing mental health with peers, reinforcing isolation, and limiting collective problem-solving. These dynamics reflect broader agricultural systems shaped by consolidation, rising land costs, and economic pressures that diverge from farmers’ values and historical practices.
This structural isolation contributes to reinforcing feedback loops linking economic stress, climate vulnerability, and mental health challenges. By highlighting these dynamics, the study demonstrates how community-engaged research processes, particularly moments of methodological “failure,” can reveal otherwise hidden system drivers. These findings underscore the importance of flexible, community-responsive research approaches and highlight how participatory methods must adapt to structural realities. Centering community engagement can surface critical insights about power, risk, and structural barriers to climate resilience and mental well-being in agricultural communities.
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